Dain Lee
Impact in
- Software top 10%
- Parasitology top 10%
- Parasites and Host Interactions
Papers in
-
- Advanced Memory and Neural Computing 4
-
- 2D Materials and Applications 4
- Co-authors
- Jeong Ho Cho (5 shared papers)Youngbin Lee (2 shared papers)Yongsuk Choi (2 shared papers)E. H. Hwang (2 shared papers)Seungwoo Lee (2 shared papers)Jong Su Kim (1 shared paper)Hakjoo Oh (1 shared paper)Jun Ho Choi (2 shared papers)
- Journals
- Scientific Reports (2 papers)Nanoscale (2 papers)World Neurosurgery (1 paper)Journal of Clinical Medicine (1 paper)The Journal of Physical Chemistry C (1 paper)
- Partner nations
- South KoreaIndonesiaUnited States
In The Last Decade
Dain Lee
24 papers receiving 470 citations
Peers
Comparison fields: 5 of 98
- Software 21
- Parasitology 31
- Materials Chemistry 201
- Electrical and Electronic Engineering 234
- Polymers and Plastics 33
Countries citing papers authored by Dain Lee
This map shows the geographic impact of Dain Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dain Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dain Lee more than expected).
Fields of papers citing papers by Dain Lee
This network shows the impact of papers produced by Dain Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dain Lee. The network helps show where Dain Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Dain Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 164 | |
| 2 | 2016 | 59 | |
| 3 | 2016 | 41 | |
| 4 | 2019 | 39 | |
| 5 | 2020 | 38 | |
| 6 | 2022 | 26 | |
| 7 | 2020 | 21 | |
| 8 | 2007 | 21 | |
| 9 | 2024 | 18 | |
| 10 | 2017 | 13 | |
| 11 | 2023 | 10 | |
| 12 | 2017 | 7 | |
| 13 | 2020 | 6 | |
| 14 | 2021 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2011 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2023 | 1 |
About Dain Lee
Dain Lee is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Molecular Biology, having authored 29 papers that have together received 481 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (4 papers), 2D Materials and Applications (4 papers), COVID-19 diagnosis using AI (3 papers), Heat transfer and supercritical fluids (2 papers), Rocket and propulsion systems research (2 papers), Anomaly Detection Techniques and Applications (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Advanced Combustion Engine Technologies (2 papers). The work is most often cited by research in Software (21 citations), Parasitology (31 citations), Materials Chemistry (201 citations), Electrical and Electronic Engineering (234 citations) and Polymers and Plastics (33 citations). Dain Lee has collaborated with scholars based in South Korea, Indonesia and United States. Frequent co-authors include Jeong Ho Cho, Youngbin Lee, Yongsuk Choi, E. H. Hwang, Seungwoo Lee, Jong Su Kim, Hakjoo Oh, Jun Ho Choi, Hak Sun Yu and Shin Ae Kang. Their work appears in journals such as Scientific Reports, Nanoscale, World Neurosurgery, Journal of Clinical Medicine and The Journal of Physical Chemistry C.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.